<!DOCTYPE html>
<html lang="ja">
<head>
    <meta http-equiv="content-type" content="text/html;charset=utf-8"/>
    <meta name="viewport" content="width=device-width, initial-scale=1.0"/>
    <meta name="description" content="フェアスケール・パイプライン・パラレル・モジュールによるGPT-Neoxバイアスの微調整"/>

    <meta name="twitter:card" content="summary"/>
    <meta name="twitter:image:src" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
    <meta name="twitter:title" content="ファインチューン GPT-ネオックス"/>
    <meta name="twitter:description" content="フェアスケール・パイプライン・パラレル・モジュールによるGPT-Neoxバイアスの微調整"/>
    <meta name="twitter:site" content="@labmlai"/>
    <meta name="twitter:creator" content="@labmlai"/>

    <meta property="og:url" content="https://nn.labml.ai/neox/samples/finetune.html"/>
    <meta property="og:title" content="ファインチューン GPT-ネオックス"/>
    <meta property="og:image" content="https://avatars1.githubusercontent.com/u/64068543?s=400&amp;v=4"/>
    <meta property="og:site_name" content="ファインチューン GPT-ネオックス"/>
    <meta property="og:type" content="object"/>
    <meta property="og:title" content="ファインチューン GPT-ネオックス"/>
    <meta property="og:description" content="フェアスケール・パイプライン・パラレル・モジュールによるGPT-Neoxバイアスの微調整"/>

    <title>ファインチューン GPT-ネオックス</title>
    <link rel="shortcut icon" href="/icon.png"/>
    <link rel="stylesheet" href="../../pylit.css?v=1">
    <link rel="canonical" href="https://nn.labml.ai/neox/samples/finetune.html"/>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.13.18/dist/katex.min.css" integrity="sha384-zTROYFVGOfTw7JV7KUu8udsvW2fx4lWOsCEDqhBreBwlHI4ioVRtmIvEThzJHGET" crossorigin="anonymous">

    <!-- Global site tag (gtag.js) - Google Analytics -->
    <script async src="https://www.googletagmanager.com/gtag/js?id=G-4V3HC8HBLH"></script>
    <script>
        window.dataLayer = window.dataLayer || [];

        function gtag() {
            dataLayer.push(arguments);
        }

        gtag('js', new Date());

        gtag('config', 'G-4V3HC8HBLH');
    </script>
</head>
<body>
<div id='container'>
    <div id="background"></div>
    <div class='section'>
        <div class='docs'>
            <p>
                <a class="parent" href="/">home</a>
                <a class="parent" href="../index.html">neox</a>
                <a class="parent" href="index.html">samples</a>
            </p>
            <p>
                <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations" target="_blank">
                    <img alt="Github"
                         src="https://img.shields.io/github/stars/labmlai/annotated_deep_learning_paper_implementations?style=social"
                         style="max-width:100%;"/></a>
                <a href="https://twitter.com/labmlai" rel="nofollow" target="_blank">
                    <img alt="Twitter"
                         src="https://img.shields.io/twitter/follow/labmlai?style=social"
                         style="max-width:100%;"/></a>
            </p>
            <p>
                <a href="https://github.com/labmlai/annotated_deep_learning_paper_implementations/tree/master/labml_nn/neox/samples/finetune.py" target="_blank">
                    View code on Github</a>
            </p>
        </div>
    </div>
    <div class='section' id='section-0'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-0'>#</a>
            </div>
            <h1>ファインチューン GPT-ネオックス</h1>
<p>これは、パイプライン並列処理でGPT-Neoxを微調整する方法を示しています。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">13</span><span></span><span class="kn">import</span> <span class="nn">fairscale</span>
<span class="lineno">14</span><span class="kn">import</span> <span class="nn">torch</span>
<span class="lineno">15</span><span class="kn">import</span> <span class="nn">torch.nn</span> <span class="k">as</span> <span class="nn">nn</span>
<span class="lineno">16</span><span class="kn">import</span> <span class="nn">torch.utils.data</span>
<span class="lineno">17</span><span class="kn">import</span> <span class="nn">torch.utils.data</span>
<span class="lineno">18</span><span class="kn">import</span> <span class="nn">typing</span>
<span class="lineno">19</span><span class="kn">from</span> <span class="nn">torch.utils.data</span> <span class="kn">import</span> <span class="n">DataLoader</span><span class="p">,</span> <span class="n">RandomSampler</span>
<span class="lineno">20</span>
<span class="lineno">21</span><span class="kn">from</span> <span class="nn">labml</span> <span class="kn">import</span> <span class="n">experiment</span><span class="p">,</span> <span class="n">monit</span><span class="p">,</span> <span class="n">tracker</span><span class="p">,</span> <span class="n">lab</span>
<span class="lineno">22</span><span class="kn">from</span> <span class="nn">labml.configs</span> <span class="kn">import</span> <span class="n">option</span>
<span class="lineno">23</span><span class="kn">from</span> <span class="nn">labml.logger</span> <span class="kn">import</span> <span class="n">inspect</span>
<span class="lineno">24</span><span class="kn">from</span> <span class="nn">labml_nn.neox.utils.text_dataset</span> <span class="kn">import</span> <span class="n">get_training_data</span>
<span class="lineno">25</span><span class="kn">from</span> <span class="nn">labml_nn.neox.utils.finetune</span> <span class="kn">import</span> <span class="n">FineTuneBiases</span>
<span class="lineno">26</span><span class="kn">from</span> <span class="nn">labml_nn.neox.model</span> <span class="kn">import</span> <span class="n">LayerGenerator</span><span class="p">,</span> <span class="n">NeoXModule</span>
<span class="lineno">27</span><span class="kn">from</span> <span class="nn">labml_nn.neox.utils</span> <span class="kn">import</span> <span class="n">balance_layers_simple</span>
<span class="lineno">28</span><span class="kn">from</span> <span class="nn">labml_nn.neox.utils.trainer</span> <span class="kn">import</span> <span class="n">PipelineParallelTrainerConf</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-1'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-1'>#</a>
            </div>
            <h3>GPT-Neox レイヤーをロード</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">31</span><span class="nd">@option</span><span class="p">(</span><span class="n">PipelineParallelTrainerConf</span><span class="o">.</span><span class="n">layers</span><span class="p">,</span> <span class="s1">&#39;PipelineBiases&#39;</span><span class="p">)</span>
<span class="lineno">32</span><span class="k">def</span> <span class="nf">neox_layers</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">PipelineParallelTrainerConf</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-2'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-2'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">36</span>    <span class="k">return</span> <span class="nb">list</span><span class="p">(</span><span class="n">LayerGenerator</span><span class="p">(</span><span class="n">is_clone_layers</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">is_clone_layers</span><span class="p">,</span>
<span class="lineno">37</span>                               <span class="n">filter_layers</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">filter_layers</span><span class="p">,</span>
<span class="lineno">38</span>                               <span class="n">dtype</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">dtype</span><span class="p">,</span>
<span class="lineno">39</span>                               <span class="p">)</span><span class="o">.</span><span class="n">load</span><span class="p">())</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-3'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-3'>#</a>
            </div>
            <h3>バイアスの微調整器の作成</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">42</span><span class="nd">@option</span><span class="p">(</span><span class="n">PipelineParallelTrainerConf</span><span class="o">.</span><span class="n">fine_tuner</span><span class="p">,</span> <span class="s1">&#39;PipelineBiases&#39;</span><span class="p">)</span>
<span class="lineno">43</span><span class="k">def</span> <span class="nf">fine_tune_biases</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">PipelineParallelTrainerConf</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-4'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-4'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">48</span>    <span class="n">fine_tuner</span> <span class="o">=</span> <span class="n">FineTuneBiases</span><span class="p">(</span><span class="n">typing</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">typing</span><span class="o">.</span><span class="n">List</span><span class="p">[</span><span class="n">NeoXModule</span><span class="p">],</span> <span class="n">c</span><span class="o">.</span><span class="n">layers</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-5'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            <p>バイアスをトレーニング可能とマークする</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">50</span>    <span class="n">fine_tuner</span><span class="o">.</span><span class="n">set_trainable_params</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-6'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-6'>#</a>
            </div>
            <p></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">53</span>    <span class="k">return</span> <span class="n">fine_tuner</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            <h3>パイプライン並列モデルの作成</h3>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">56</span><span class="nd">@option</span><span class="p">(</span><span class="n">PipelineParallelTrainerConf</span><span class="o">.</span><span class="n">model</span><span class="p">,</span> <span class="s1">&#39;PipelineBiases&#39;</span><span class="p">)</span>
<span class="lineno">57</span><span class="k">def</span> <span class="nf">pipe_model</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">PipelineParallelTrainerConf</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-8'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">62</span>    <span class="k">if</span> <span class="n">c</span><span class="o">.</span><span class="n">is_checkpointing</span><span class="p">:</span>
<span class="lineno">63</span>        <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">()</span>
<span class="lineno">64</span>    <span class="k">else</span><span class="p">:</span>
<span class="lineno">65</span>        <span class="n">layers</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">layers</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-9'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-9'>#</a>
            </div>
            <p>ファインチューナーが初期化されていることを確認してください</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">68</span>    <span class="n">_</span> <span class="o">=</span> <span class="n">c</span><span class="o">.</span><span class="n">fine_tuner</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-10'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-10'>#</a>
            </div>
            <p>パイプモジュールを作成する</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">71</span>    <span class="k">with</span> <span class="n">monit</span><span class="o">.</span><span class="n">section</span><span class="p">(</span><span class="s1">&#39;Pipe&#39;</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-11'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-11'>#</a>
            </div>
            <p>GPU 全体のレイヤー分布を取得</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">73</span>        <span class="n">balance</span> <span class="o">=</span> <span class="n">balance_layers_simple</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">layers</span><span class="p">),</span> <span class="n">c</span><span class="o">.</span><span class="n">n_gpus</span><span class="p">)</span>
<span class="lineno">74</span>        <span class="n">inspect</span><span class="p">(</span><span class="n">balance</span><span class="o">=</span><span class="n">balance</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-12'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-12'>#</a>
            </div>
            <p>各 GPU のデバイス</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">76</span>        <span class="n">devices</span> <span class="o">=</span> <span class="p">[</span><span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="sa">f</span><span class="s1">&#39;cuda:</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">)</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">n_gpus</span><span class="p">)]</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-13'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-13'>#</a>
            </div>
            <p>フェアスケールパイプモジュールを作成</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">78</span>        <span class="n">pipe_model</span> <span class="o">=</span> <span class="n">fairscale</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Pipe</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span><span class="o">*</span><span class="n">layers</span><span class="p">),</span>
<span class="lineno">79</span>                                       <span class="n">balance</span><span class="o">=</span><span class="n">balance</span><span class="p">,</span>
<span class="lineno">80</span>                                       <span class="n">devices</span><span class="o">=</span><span class="n">devices</span><span class="p">,</span>
<span class="lineno">81</span>                                       <span class="n">chunks</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">chunks</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-14'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-14'>#</a>
            </div>
            <p></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">84</span>    <span class="k">return</span> <span class="n">pipe_model</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-15'>
        <div class='docs doc-strings'>
            <div class='section-link'>
                <a href='#section-15'>#</a>
            </div>
            <h4>小さなシェイクスピアデータセット</h4>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">87</span><span class="nd">@option</span><span class="p">(</span><span class="n">PipelineParallelTrainerConf</span><span class="o">.</span><span class="n">train_loader</span><span class="p">)</span>
<span class="lineno">88</span><span class="k">def</span> <span class="nf">tiny_shakespeare</span><span class="p">(</span><span class="n">c</span><span class="p">:</span> <span class="n">PipelineParallelTrainerConf</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-16'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-16'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">92</span>    <span class="n">dataset</span> <span class="o">=</span> <span class="n">get_training_data</span><span class="p">(</span><span class="n">c</span><span class="o">.</span><span class="n">max_seq_len</span><span class="p">)</span>
<span class="lineno">93</span>
<span class="lineno">94</span>    <span class="k">return</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span>
<span class="lineno">95</span>                      <span class="n">batch_size</span><span class="o">=</span><span class="n">c</span><span class="o">.</span><span class="n">batch_size</span><span class="p">,</span>
<span class="lineno">96</span>                      <span class="n">sampler</span><span class="o">=</span><span class="n">RandomSampler</span><span class="p">(</span><span class="n">dataset</span><span class="p">,</span> <span class="n">replacement</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-17'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-17'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">99</span><span class="k">def</span> <span class="nf">main</span><span class="p">():</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-18'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-18'>#</a>
            </div>
            <p>実験を作成</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">101</span>    <span class="n">experiment</span><span class="o">.</span><span class="n">create</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s1">&#39;pipe_neox_biases&#39;</span><span class="p">,</span>
<span class="lineno">102</span>                      <span class="n">writers</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;screen&#39;</span><span class="p">,</span> <span class="s1">&#39;web_api&#39;</span><span class="p">})</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-19'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-19'>#</a>
            </div>
            <p>コンフィグを初期化</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">105</span>    <span class="n">conf</span> <span class="o">=</span> <span class="n">PipelineParallelTrainerConf</span><span class="p">()</span>
<span class="lineno">106</span>    <span class="n">experiment</span><span class="o">.</span><span class="n">configs</span><span class="p">(</span><span class="n">conf</span><span class="p">,</span> <span class="p">{</span>
<span class="lineno">107</span>        <span class="s1">&#39;learning_rate&#39;</span><span class="p">:</span> <span class="mf">3e-4</span><span class="p">,</span>
<span class="lineno">108</span>        <span class="s1">&#39;is_checkpointing&#39;</span><span class="p">:</span> <span class="kc">False</span><span class="p">,</span>
<span class="lineno">109</span>        <span class="s1">&#39;max_seq_len&#39;</span><span class="p">:</span> <span class="mi">128</span><span class="p">,</span>
<span class="lineno">110</span>        <span class="s1">&#39;batch_size&#39;</span><span class="p">:</span> <span class="mi">64</span><span class="p">,</span>
<span class="lineno">111</span>        <span class="s1">&#39;chunks&#39;</span><span class="p">:</span> <span class="mi">8</span><span class="p">,</span>
<span class="lineno">112</span>    <span class="p">})</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-20'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-20'>#</a>
            </div>
            <p>実験を始める</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">115</span>    <span class="k">with</span> <span class="n">experiment</span><span class="o">.</span><span class="n">start</span><span class="p">():</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-21'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-21'>#</a>
            </div>
            <p>モデルを初期化します。これをループの前に行って、ログをクリーンアップしてください。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">117</span>        <span class="n">_</span> <span class="o">=</span> <span class="n">conf</span><span class="o">.</span><span class="n">model</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-22'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-22'>#</a>
            </div>
            <p>列車</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">120</span>        <span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="n">monit</span><span class="o">.</span><span class="n">loop</span><span class="p">(</span><span class="n">conf</span><span class="o">.</span><span class="n">epochs</span><span class="p">):</span>
<span class="lineno">121</span>            <span class="n">conf</span><span class="o">.</span><span class="n">train_epoch</span><span class="p">()</span>
<span class="lineno">122</span>            <span class="n">tracker</span><span class="o">.</span><span class="n">new_line</span><span class="p">()</span>
<span class="lineno">123</span>            <span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">conf</span><span class="o">.</span><span class="n">fine_tuner</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span> <span class="nb">str</span><span class="p">(</span><span class="n">lab</span><span class="o">.</span><span class="n">get_data_path</span><span class="p">()</span> <span class="o">/</span> <span class="s1">&#39;fine_tune.pt&#39;</span><span class="p">))</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-23'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-23'>#</a>
            </div>
            <p></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">127</span><span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span> <span class="s1">&#39;__main__&#39;</span><span class="p">:</span>
<span class="lineno">128</span>    <span class="n">main</span><span class="p">()</span></pre></div>
        </div>
    </div>
    <div class='footer'>
        <a href="https://papers.labml.ai">Trending Research Papers</a>
        <a href="https://labml.ai">labml.ai</a>
    </div>
</div>
<script src=../../interactive.js?v=1"></script>
<script>
    function handleImages() {
        var images = document.querySelectorAll('p>img')

        for (var i = 0; i < images.length; ++i) {
            handleImage(images[i])
        }
    }

    function handleImage(img) {
        img.parentElement.style.textAlign = 'center'

        var modal = document.createElement('div')
        modal.id = 'modal'

        var modalContent = document.createElement('div')
        modal.appendChild(modalContent)

        var modalImage = document.createElement('img')
        modalContent.appendChild(modalImage)

        var span = document.createElement('span')
        span.classList.add('close')
        span.textContent = 'x'
        modal.appendChild(span)

        img.onclick = function () {
            console.log('clicked')
            document.body.appendChild(modal)
            modalImage.src = img.src
        }

        span.onclick = function () {
            document.body.removeChild(modal)
        }
    }

    handleImages()
</script>
</body>
</html>